Brain–computer interface: trend, challenges, and threats
Abstract Brain–computer interface (BCI), an emerging technology that facilitates
communication between brain and computer, has attracted a great deal of research in recent …
communication between brain and computer, has attracted a great deal of research in recent …
Advances in neuromarketing and improved understanding of consumer behaviour: Analysing tool possibilities and research trends
Neuromarketing, an emerging subject and generating diverse body of knowledge in the
extant literature, this study aims to present qualitative and quantitative knowledge of the …
extant literature, this study aims to present qualitative and quantitative knowledge of the …
A single-channel wireless EEG headset enabled neural activities analysis for mental healthcare applications
Electroencephalography (EEG) is a technique of Electrophysiology used in a wide variety of
scientific studies and applications. Inadequately, many commercial devices that are …
scientific studies and applications. Inadequately, many commercial devices that are …
RNeuMark: A Riemannian EEG Analysis Framework for Neuromarketing
Neuromarketing exploits neuroimaging techniques so as to reinforce the predictive power of
conventional marketing tools, like questionnaires and focus groups …
conventional marketing tools, like questionnaires and focus groups …
[PDF][PDF] Neuromarketing solutions based on EEG signal analysis using machine learning
Marketing campaigns that promote and market various consumer products are a well-known
strategy for increasing sales and market awareness. This simply means the profit of a …
strategy for increasing sales and market awareness. This simply means the profit of a …
Harneshing the potential of EEG in neuromarketing with deep learning and Riemannian geometry
Neuromarketing exploits neuroimaging techniques to study consumers' responses to
various marketing aspects, with the goal of gaining a more thorough understanding of the …
various marketing aspects, with the goal of gaining a more thorough understanding of the …
Data fusion in neuromarketing: Multimodal analysis of biosignals, lifecycle stages, current advances, datasets, trends, and challenges
M Quiles Pérez, ET Martínez Beltrán… - Information …, 2024 - zora.uzh.ch
The primary goal of any company is to increase its profits by improving both the quality of its
products and how they are advertised. In this context, neuromarketing seeks to enhance the …
products and how they are advertised. In this context, neuromarketing seeks to enhance the …
Data fusion in neuromarketing: Multimodal analysis of biosignals, lifecycle stages, current advances, datasets, trends, and challenges
The primary goal of any company is to increase its profits by improving both the quality of its
products and how they are advertised. In this context, neuromarketing seeks to enhance the …
products and how they are advertised. In this context, neuromarketing seeks to enhance the …
Preference detection of the humanoid robot face based on EEG and eye movement
P Wang, W Mu, G Zhan, A Wang, Z Song… - Neural Computing and …, 2024 - Springer
The face of a humanoid robot can affect the user experience, and the detection of face
preference is particularly important. Preference detection belongs to a branch of emotion …
preference is particularly important. Preference detection belongs to a branch of emotion …
Neuromarketing algorithms' consumer privacy and ethical considerations: challenges and opportunities
M Goncalves, Y Hu, I Aliagas… - Cogent Business & …, 2024 - Taylor & Francis
This research investigates the ethical and privacy issues arising from using AI andML in
neuromarketing, framed by rule utilitarianism. It assesses the impact of these technologies …
neuromarketing, framed by rule utilitarianism. It assesses the impact of these technologies …